On Fri, Apr 28, 2017 at 4:52 PM, Shiva Ramagopal <tr.s...@gmail.com> wrote:

> Viktor,
>
>
> On Fri, Apr 28, 2017 at 5:03 PM, Viktor Klang <viktor.kl...@gmail.com>
> wrote:
>
>>
>>
>> On Fri, Apr 28, 2017 at 1:12 PM, Shiva Ramagopal <tr.s...@gmail.com>
>> wrote:
>>
>>> Hi Viktor,
>>>
>>> On Fri, Apr 28, 2017 at 2:55 PM, Viktor Klang <viktor.kl...@gmail.com>
>>> wrote:
>>>
>>>> Hi Shiva,
>>>>
>>>> On Fri, Apr 28, 2017 at 11:20 AM, Shiva Ramagopal <tr.s...@gmail.com>
>>>> wrote:
>>>>
>>>>> I'm looking to compare Kafka Streams vs Akka Streams in two areas:
>>>>>
>>>>> 1. For ingesting between Kafka and HDFS/RDBMS
>>>>>
>>>>> Requirements are mainly around performance and latency. A Kafka topic
>>>>> can have several million events, each corresponding to a database change
>>>>> capture. When ingesting this topic into HDFS I'm also looking to partition
>>>>> the data by day, typically based on a timestamp field in the event record,
>>>>> aggregations on-the-fly (say by a userid field) and parquetizing
>>>>> (preferably on the fly to optimize performance by reducing two I/O
>>>>> operations).
>>>>>
>>>>
>>>> Looking forward to see your benchmark!
>>>>
>>>
>>> Hey, you wanted requirements! :)
>>>
>>>>
>>>>
>>>>>
>>>>> 2. Low-latency processing
>>>>>
>>>>> Experiences around performances of Storm/Flink and Akka Streams would
>>>>> be *very* nice. Typical use-cases are de-duping and enrichment with 
>>>>> metrics
>>>>> computation (# duplicate events/records, aggregate metrics etc). Low
>>>>> latency and scalability are main considerations
>>>>>
>>>>
>>>> Low latency is not a metric, and scalability is not a profile. :)
>>>> In other words: What latency distribution are you targeting and what
>>>> scalability curve?
>>>>
>>>
>>> I know latency is a nuanced topic. I'm just looking for broad
>>> experiences on performance comparisons if anyone has done that. Currently
>>> we have a Storm topology over 5 nodes doing enrichment of events from Kafka
>>> that involves a lookup into a db per event. 90th percentile of latency of
>>> this processing is under 200 ms and we are happy with this. While Storm is
>>> mature, Akka Streams seems more general purpose than Storm. I'd like to use
>>> Akka Streams for this reason if performance is comparable to Storm.
>>>
>>
>> There's one important architectural difference here tho: Akka Streams are
>> local-only (as in materialization). You can of course materialize Akka
>> Streams on multiple nodes and use a transport to coordinate data
>> processing. Interestingly it doesn't lock you in to a particular backend
>> such that Kafka Streams or even Storm would do.
>>
>
> The materialization part was something I was not aware of. Thanks for
> pointing it out, really appreciate it.
>

You're most welcome


>
>> All of this boils down to requirements. Something like Flink or Google
>> Beam could be viable options here as well. In your situation I'd look at
>> the requirements and make a couple of prototypes before picking a winner.
>>
>
> I was also looking for something to unify batch and streaming - which is
> how I came to look at SMACK. I'd really like to keep the tech stack small
> and have the parts integrate tightly with each other. Guess I have to pick
> between Spark, Flink, Beam and Storm.
>

Sounds like a fun exercise :)


>
>>
>>>
>>>
>>>>
>>>>
>>>>>
>>>>> On Thu, Apr 27, 2017 at 8:31 PM, Viktor Klang <viktor.kl...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>>
>>>>>>
>>>>>> On Thu, Apr 27, 2017 at 10:39 AM, Shiva Ramagopal <tr.s...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> I have read through multiple articles describing the SMACK stack but
>>>>>>> I'm having difficulty understanding the role of Akka in the stack. How 
>>>>>>> does
>>>>>>> Akka fit in?
>>>>>>>
>>>>>>
>>>>>> Akka is for building the application itself.
>>>>>>
>>>>>>
>>>>>>>
>>>>>>> Also I would like to know of experiences in using Akka Streams vs
>>>>>>> Kafka Connect for ingesting from Kafka into HDFS (Hive) and RDBMS. Has
>>>>>>> anyone used Akka Streams for say, dynamic partitioning of events from a
>>>>>>> Kafka topic into HDFS?
>>>>>>>
>>>>>>
>>>>>> Based on what requirements?
>>>>>>
>>>>>>
>>>>>>>
>>>>>>> TIA
>>>>>>> -Shiva
>>>>>>>
>>>>>>> --
>>>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>>>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>>>>>>> urrent/additional/faq.html
>>>>>>> >>>>>>>>>> Search the archives: https://groups.google.com/grou
>>>>>>> p/akka-user
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>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Cheers,
>>>>>> √
>>>>>>
>>>>>> --
>>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>>>>>> urrent/additional/faq.html
>>>>>> >>>>>>>>>> Search the archives: https://groups.google.com/grou
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>>>>>
>>>>> --
>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>>>>> urrent/additional/faq.html
>>>>> >>>>>>>>>> Search the archives: https://groups.google.com/grou
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>>>>
>>>>
>>>>
>>>> --
>>>> Cheers,
>>>> √
>>>>
>>>> --
>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>>>> urrent/additional/faq.html
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>>>
>>> --
>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>>> urrent/additional/faq.html
>>> >>>>>>>>>> Search the archives: https://groups.google.com/grou
>>> p/akka-user
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>>
>>
>>
>> --
>> Cheers,
>> √
>>
>> --
>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
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>
> --
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-- 
Cheers,
√

-- 
>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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